This page shows data and spreadsheets used during the course of this book.
| Description | Chapter | Download |
| ACME financial data, showing detailed information for the fictitious company used in several parts of the book. | 2 |  |
| This small model calculates whether there is a significant difference between two means or two proportions. | 5 | |
| A dynamic model which explains the difference between standard deviation and the standard error of the mean (SEM). | 5 | |
| Another dynamic simulation model, used this time for major incidents. | 9 | |
| This spreadsheet shows the layout of the LP model discussed in the chapter. To amend the constraints, invoke Solver. | 10 | |
| This model demonstrates how the total tax burden changes with elasticity of demand, including the proportions paid by the supplier and customer. | 13 | |
| Calculations used when accounting for different rates of inflation for selected account components. | 15 | |
| Relationship between inflation and the exchange rate; accounting for exchange rate in import costs. | 15 | |
| Demonstration of EOQ as the minimum stockholding cost | 19 | |
| Simple regression of yield versus rainfall | 22 | |
| Multivariate regression analysis using Acme data. The file also includes dummy variables introduced in chapter 24. | 23,24 | |
| Use of non-.linear regression (quadratic function) | 25 | |
| An example of Stepwise regression (note: this file is of limited use without the Excel Stepwise add-in). | 25 | |
| Data for the UK-Greece air transport market including time series calculations. | 26 | |
| As above but for the UK-Japan air transport market. | 27 | |
| A demonstration of the investment appraisal technique and a calculation of WACC. | 35 | |
| Workbook used for analysis of variance calculations and charts | 36 | |